{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "0b9ffbb2-8d33-eb0c-5a42-0733bdc3b74b",
    "_uuid": "e14f65723f5ac826104e861c45e58525740d8b2a"
   },
   "source": [
    "# 人工智能第四周进阶作业 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.对数据做数据探索分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "2ba3154a-c2aa-3158-1984-63ad2c0c786a",
    "_uuid": "5eb696b95780825e94ddb49787f9fa339fc3833b"
   },
   "outputs": [],
   "source": [
    "# 数据读取及基本处理\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# plotting\n",
    "import seaborn as sn\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "# setting params\n",
    "params = {'legend.fontsize': 'x-large',\n",
    "          'figure.figsize': (30, 10),\n",
    "          'axes.labelsize': 'x-large',\n",
    "          'axes.titlesize':'x-large',\n",
    "          'xtick.labelsize':'x-large',\n",
    "          'ytick.labelsize':'x-large'}\n",
    "\n",
    "sn.set_style('whitegrid')\n",
    "sn.set_context('talk')\n",
    "\n",
    "plt.rcParams.update(params)\n",
    "pd.options.display.max_colwidth = 600\n",
    "\n",
    "# pandas display data frames as tables\n",
    "from IPython.display import display, HTML"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 读入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "21fa35be-878b-b4f2-ef6e-68dc070b8bfa",
    "_uuid": "73aee228226be55c0c8a6e4fcbf818c56cd94926"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.344167</td>\n",
       "      <td>0.363625</td>\n",
       "      <td>0.805833</td>\n",
       "      <td>0.160446</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2011-01-02</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.363478</td>\n",
       "      <td>0.353739</td>\n",
       "      <td>0.696087</td>\n",
       "      <td>0.248539</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2011-01-03</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.196364</td>\n",
       "      <td>0.189405</td>\n",
       "      <td>0.437273</td>\n",
       "      <td>0.248309</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2011-01-04</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.212122</td>\n",
       "      <td>0.590435</td>\n",
       "      <td>0.160296</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2011-01-05</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.226957</td>\n",
       "      <td>0.229270</td>\n",
       "      <td>0.436957</td>\n",
       "      <td>0.186900</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  2011-01-01       1   0     1        0        6           0   \n",
       "1        2  2011-01-02       1   0     1        0        0           0   \n",
       "2        3  2011-01-03       1   0     1        0        1           1   \n",
       "3        4  2011-01-04       1   0     1        0        2           1   \n",
       "4        5  2011-01-05       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit      temp     atemp       hum  windspeed  casual  registered  \\\n",
       "0           2  0.344167  0.363625  0.805833   0.160446     331         654   \n",
       "1           2  0.363478  0.353739  0.696087   0.248539     131         670   \n",
       "2           1  0.196364  0.189405  0.437273   0.248309     120        1229   \n",
       "3           1  0.200000  0.212122  0.590435   0.160296     108        1454   \n",
       "4           1  0.226957  0.229270  0.436957   0.186900      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读入数据\n",
    "train = pd.read_csv(\"day.csv\")\n",
    "train.head()\n",
    "#print(\"train : \" + str(train.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 16 columns):\n",
      "instant       731 non-null int64\n",
      "dteday        731 non-null object\n",
      "season        731 non-null int64\n",
      "yr            731 non-null int64\n",
      "mnth          731 non-null int64\n",
      "holiday       731 non-null int64\n",
      "weekday       731 non-null int64\n",
      "workingday    731 non-null int64\n",
      "weathersit    731 non-null int64\n",
      "temp          731 non-null float64\n",
      "atemp         731 non-null float64\n",
      "hum           731 non-null float64\n",
      "windspeed     731 non-null float64\n",
      "casual        731 non-null int64\n",
      "registered    731 non-null int64\n",
      "cnt           731 non-null int64\n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.4+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "没有缺失数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "be11c1c7-acfe-cb9a-bc81-95d461b884c5",
    "_uuid": "b53750ea6a3a2a02aa4297f5401e29c2f4d92e31"
   },
   "source": [
    "## 数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "      <td>731.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>2.496580</td>\n",
       "      <td>0.500684</td>\n",
       "      <td>6.519836</td>\n",
       "      <td>0.028728</td>\n",
       "      <td>2.997264</td>\n",
       "      <td>0.683995</td>\n",
       "      <td>1.395349</td>\n",
       "      <td>0.495385</td>\n",
       "      <td>0.474354</td>\n",
       "      <td>0.627894</td>\n",
       "      <td>0.190486</td>\n",
       "      <td>848.176471</td>\n",
       "      <td>3656.172367</td>\n",
       "      <td>4504.348837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>211.165812</td>\n",
       "      <td>1.110807</td>\n",
       "      <td>0.500342</td>\n",
       "      <td>3.451913</td>\n",
       "      <td>0.167155</td>\n",
       "      <td>2.004787</td>\n",
       "      <td>0.465233</td>\n",
       "      <td>0.544894</td>\n",
       "      <td>0.183051</td>\n",
       "      <td>0.162961</td>\n",
       "      <td>0.142429</td>\n",
       "      <td>0.077498</td>\n",
       "      <td>686.622488</td>\n",
       "      <td>1560.256377</td>\n",
       "      <td>1937.211452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.059130</td>\n",
       "      <td>0.079070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022392</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>183.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337083</td>\n",
       "      <td>0.337842</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.134950</td>\n",
       "      <td>315.500000</td>\n",
       "      <td>2497.000000</td>\n",
       "      <td>3152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>366.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.498333</td>\n",
       "      <td>0.486733</td>\n",
       "      <td>0.626667</td>\n",
       "      <td>0.180975</td>\n",
       "      <td>713.000000</td>\n",
       "      <td>3662.000000</td>\n",
       "      <td>4548.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>548.500000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.655417</td>\n",
       "      <td>0.608602</td>\n",
       "      <td>0.730209</td>\n",
       "      <td>0.233214</td>\n",
       "      <td>1096.000000</td>\n",
       "      <td>4776.500000</td>\n",
       "      <td>5956.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>731.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.861667</td>\n",
       "      <td>0.840896</td>\n",
       "      <td>0.972500</td>\n",
       "      <td>0.507463</td>\n",
       "      <td>3410.000000</td>\n",
       "      <td>6946.000000</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          instant      season          yr        mnth     holiday     weekday  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean   366.000000    2.496580    0.500684    6.519836    0.028728    2.997264   \n",
       "std    211.165812    1.110807    0.500342    3.451913    0.167155    2.004787   \n",
       "min      1.000000    1.000000    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    183.500000    2.000000    0.000000    4.000000    0.000000    1.000000   \n",
       "50%    366.000000    3.000000    1.000000    7.000000    0.000000    3.000000   \n",
       "75%    548.500000    3.000000    1.000000   10.000000    0.000000    5.000000   \n",
       "max    731.000000    4.000000    1.000000   12.000000    1.000000    6.000000   \n",
       "\n",
       "       workingday  weathersit        temp       atemp         hum   windspeed  \\\n",
       "count  731.000000  731.000000  731.000000  731.000000  731.000000  731.000000   \n",
       "mean     0.683995    1.395349    0.495385    0.474354    0.627894    0.190486   \n",
       "std      0.465233    0.544894    0.183051    0.162961    0.142429    0.077498   \n",
       "min      0.000000    1.000000    0.059130    0.079070    0.000000    0.022392   \n",
       "25%      0.000000    1.000000    0.337083    0.337842    0.520000    0.134950   \n",
       "50%      1.000000    1.000000    0.498333    0.486733    0.626667    0.180975   \n",
       "75%      1.000000    2.000000    0.655417    0.608602    0.730209    0.233214   \n",
       "max      1.000000    3.000000    0.861667    0.840896    0.972500    0.507463   \n",
       "\n",
       "            casual   registered          cnt  \n",
       "count   731.000000   731.000000   731.000000  \n",
       "mean    848.176471  3656.172367  4504.348837  \n",
       "std     686.622488  1560.256377  1937.211452  \n",
       "min       2.000000    20.000000    22.000000  \n",
       "25%     315.500000  2497.000000  3152.000000  \n",
       "50%     713.000000  3662.000000  4548.000000  \n",
       "75%    1096.000000  4776.500000  5956.000000  \n",
       "max    3410.000000  6946.000000  8714.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对数据值型特征，用常用统计量观察其分布\n",
    "train.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 离散特征的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "season属性的不同取值和出现的次数\n",
      "3    188\n",
      "2    184\n",
      "1    181\n",
      "4    178\n",
      "Name: season, dtype: int64\n",
      "\n",
      "mnth属性的不同取值和出现的次数\n",
      "12    62\n",
      "10    62\n",
      "8     62\n",
      "7     62\n",
      "5     62\n",
      "3     62\n",
      "1     62\n",
      "11    60\n",
      "9     60\n",
      "6     60\n",
      "4     60\n",
      "2     57\n",
      "Name: mnth, dtype: int64\n",
      "\n",
      "weathersit属性的不同取值和出现的次数\n",
      "1    463\n",
      "2    247\n",
      "3     21\n",
      "Name: weathersit, dtype: int64\n",
      "\n",
      "weekday属性的不同取值和出现的次数\n",
      "6    105\n",
      "1    105\n",
      "0    105\n",
      "5    104\n",
      "4    104\n",
      "3    104\n",
      "2    104\n",
      "Name: weekday, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "#对类别型特征，观察其取值范围及直方图\n",
    "categorical_features = ['season','mnth','weathersit','weekday']\n",
    "for col in categorical_features:\n",
    "    print '\\n%s属性的不同取值和出现的次数'%col\n",
    "    print train[col].value_counts()\n",
    "    train[col] = train[col].astype('object')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "类别型特征的取值不多\n",
    "类别型特征可以采用独热编码（One hot encoding）/哑编码"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 数值特征的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000001A780E10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000001AA71EF0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000000001AAF54A8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000001A99FC18>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABtkAAAJrCAYAAACFlvxiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSZENAAAAAAAAiqTIBgAAAAAAAEX6/wArOAB6poglnwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#对数值型特征，直方图\n",
    "numerical_features = ['temp','atemp','hum','windspeed']\n",
    "train[numerical_features].hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 特征与目标之间的关系"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.1 每年骑行量的分布\n",
    "violinplot中用x表示类别（年）信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a7d4a90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABxEAAAJ3CAYAAABbZK8XAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.violinplot(data=train[['yr',\n",
    "                        'cnt']],\n",
    "              x=\"yr\",y=\"cnt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2011年和2012年的分布差异很大"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.2 一年中每天的骑车量\n",
    "用颜色参数hue表示类别（年）信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5,1,'dayly distribution of counts')]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABw0AAAKHCAYAAABzZNdoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import datetime\n",
    "\n",
    "train['date'] = pd.to_datetime(train['dteday'])\n",
    "train['dayofyear'] = train[\"date\"].dt.dayofyear  #减今年的第几天\n",
    "\n",
    "fig,ax = plt.subplots()\n",
    "sn.pointplot(data=train[['dayofyear',\n",
    "                           'cnt',\n",
    "                           'yr']],\n",
    "             x='dayofyear',y='cnt',\n",
    "             hue='yr',ax=ax)\n",
    "ax.set(title=\"dayly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "每年开始和结束的数量少，中间多，骑行量和季节/月份有关"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.3 季节与骑车数量的关系\n",
    "violinplot得到详细分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1aea1550>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABxEAAAJ3CAYAAABbZK8XAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sn.violinplot(data=train[['season',\n",
    "                        'cnt']],\n",
    "              x=\"season\",y=\"cnt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "能看出来每个季节骑行量的分布不同\n",
    "barplot利用矩阵条的高度反映数值变量的集中趋势，以及使用errorbar功能（差棒图）来估计变量之间的差值统计。\n",
    "谨记barplot展示的是某种变量分布的平均值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5,1,'Seasonly distribution of counts')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABwMAAAKHCAYAAABtrefbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n5tgNRQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "sn.barplot(data=train[['season',\n",
    "                       'cnt']],\n",
    "           x=\"season\",y=\"cnt\")\n",
    "ax.set(title=\"Seasonly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "骑行量和季节的关系就很明显了：第2、3、4季度的骑行量明显高于第1季度"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.4 月份与骑车数量的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5,1,'Monthly distribution of counts')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABwMAAAKHCAYAAABtrefbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAIBJ/T+4LtPF/4rSDwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "sn.barplot(data=train[['mnth',\n",
    "                       'cnt']],\n",
    "           x=\"mnth\",y=\"cnt\")\n",
    "ax.set(title=\"Monthly distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.5 天气和骑车数目的关系"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5,1,'weathersit distribution of counts')]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABwMAAAKHCAYAAABtrefbAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZRkoSZIkSZIkSZIkVVH/D2PX4xb6fIbJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = plt.subplots()\n",
    "sn.barplot(data=train[['weathersit',\n",
    "                       'cnt']],\n",
    "           x=\"weathersit\",y=\"cnt\")\n",
    "ax.set(title=\"weathersit distribution of counts\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.6 工作日和节假日的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x223e5128>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABwMAAAJ3CAYAAAB4P/7CAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nVxEgURe7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 2160x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,(ax1,ax2) = plt.subplots(ncols=2)\n",
    "sn.barplot(data=train,x='holiday',y='cnt',ax=ax1)\n",
    "sn.barplot(data=train,x='workingday',y='cnt',ax=ax2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.7 数值型特征和y之间的相关性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x224a8080>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2UAAALACAYAAAAT0Nq6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\niIgk9P8EzbhAzf0iVQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 2160x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corrMatt = train[[\"temp\",\"atemp\",\n",
    "                  \"hum\",\"windspeed\",\n",
    "                  \"casual\",\"registered\",\n",
    "                  \"cnt\"]].corr()\n",
    "mask = np.array(corrMatt)\n",
    "mask[np.tril_indices_from(mask)] = False\n",
    "sn.heatmap(corrMatt, mask=mask,\n",
    "           vmax=.8, square=True,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "体感温度和温度高度相关\n",
    "目标cnt与温度正相关、湿度和风速负相关"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 适当的特征工程"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 类别型特征编码\n",
    "对类别型特征进行独热编码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>mnth_6</th>\n",
       "      <th>...</th>\n",
       "      <th>weathersit_1</th>\n",
       "      <th>weathersit_2</th>\n",
       "      <th>weathersit_3</th>\n",
       "      <th>weekday_0</th>\n",
       "      <th>weekday_1</th>\n",
       "      <th>weekday_2</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  mnth_4  \\\n",
       "0         1         0         0         0       1       0       0       0   \n",
       "1         1         0         0         0       1       0       0       0   \n",
       "2         1         0         0         0       1       0       0       0   \n",
       "3         1         0         0         0       1       0       0       0   \n",
       "4         1         0         0         0       1       0       0       0   \n",
       "\n",
       "   mnth_5  mnth_6  ...  weathersit_1  weathersit_2  weathersit_3  weekday_0  \\\n",
       "0       0       0  ...             0             1             0          0   \n",
       "1       0       0  ...             0             1             0          1   \n",
       "2       0       0  ...             1             0             0          0   \n",
       "3       0       0  ...             1             0             0          0   \n",
       "4       0       0  ...             1             0             0          0   \n",
       "\n",
       "   weekday_1  weekday_2  weekday_3  weekday_4  weekday_5  weekday_6  \n",
       "0          0          0          0          0          0          1  \n",
       "1          0          0          0          0          0          0  \n",
       "2          1          0          0          0          0          0  \n",
       "3          0          1          0          0          0          0  \n",
       "4          0          0          1          0          0          0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对类别型特征，观察其取值范围及直方图\n",
    "categorical_features = ['season','mnth','weathersit','weekday']\n",
    "\n",
    "#数据类型变为object，才能被get_dummies处理\n",
    "for col in categorical_features:\n",
    "    train[col] = train[col].astype('object')\n",
    "    \n",
    "X_train_cat = train[categorical_features]\n",
    "X_train_cat = pd.get_dummies(X_train_cat)\n",
    "X_train_cat.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  数值型特征\n",
    "对数值型特征进行标准化/MinMaxScaler，去量纲"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.355170</td>\n",
       "      <td>0.373517</td>\n",
       "      <td>0.828620</td>\n",
       "      <td>0.284606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       temp     atemp       hum  windspeed\n",
       "0  0.355170  0.373517  0.828620   0.284606\n",
       "1  0.379232  0.360541  0.715771   0.466215\n",
       "2  0.171000  0.144830  0.449638   0.465740\n",
       "3  0.175530  0.174649  0.607131   0.284297\n",
       "4  0.209120  0.197158  0.449313   0.339143"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "#数值型变量预处理，\n",
    "#感觉数据已经做过处理（取值都在0-1之间），这里用MinMaxScaler再处理一次\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "mn_X = MinMaxScaler()\n",
    "numerical_features = ['temp','atemp','hum','windspeed']\n",
    "temp = mn_X.fit_transform(train[numerical_features])\n",
    "\n",
    "X_train_num = pd.DataFrame(data=temp, columns=numerical_features, index =train.index)\n",
    "X_train_num.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>mnth_6</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_3</th>\n",
       "      <th>weekday_4</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.355170</td>\n",
       "      <td>0.373517</td>\n",
       "      <td>0.828620</td>\n",
       "      <td>0.284606</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  mnth_4  \\\n",
       "0         1         0         0         0       1       0       0       0   \n",
       "1         1         0         0         0       1       0       0       0   \n",
       "2         1         0         0         0       1       0       0       0   \n",
       "3         1         0         0         0       1       0       0       0   \n",
       "4         1         0         0         0       1       0       0       0   \n",
       "\n",
       "   mnth_5  mnth_6  ...  weekday_3  weekday_4  weekday_5  weekday_6      temp  \\\n",
       "0       0       0  ...          0          0          0          1  0.355170   \n",
       "1       0       0  ...          0          0          0          0  0.379232   \n",
       "2       0       0  ...          0          0          0          0  0.171000   \n",
       "3       0       0  ...          0          0          0          0  0.175530   \n",
       "4       0       0  ...          1          0          0          0  0.209120   \n",
       "\n",
       "      atemp       hum  windspeed  holiday  workingday  \n",
       "0  0.373517  0.828620   0.284606        0           0  \n",
       "1  0.360541  0.715771   0.466215        0           0  \n",
       "2  0.144830  0.449638   0.465740        0           1  \n",
       "3  0.174649  0.607131   0.284297        0           1  \n",
       "4  0.197158  0.449313   0.339143        0           1  \n",
       "\n",
       "[5 rows x 32 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Join categorical and numerical features\n",
    "X_train = pd.concat([X_train_cat, X_train_num, train['holiday'],  train['workingday']], axis = 1, ignore_index=False)\n",
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>yr</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.355170</td>\n",
       "      <td>0.373517</td>\n",
       "      <td>0.828620</td>\n",
       "      <td>0.284606</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant  season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  \\\n",
       "0        1         1         0         0         0       1       0       0   \n",
       "1        2         1         0         0         0       1       0       0   \n",
       "2        3         1         0         0         0       1       0       0   \n",
       "3        4         1         0         0         0       1       0       0   \n",
       "4        5         1         0         0         0       1       0       0   \n",
       "\n",
       "   mnth_4  mnth_5  ...  weekday_5  weekday_6      temp     atemp       hum  \\\n",
       "0       0       0  ...          0          1  0.355170  0.373517  0.828620   \n",
       "1       0       0  ...          0          0  0.379232  0.360541  0.715771   \n",
       "2       0       0  ...          0          0  0.171000  0.144830  0.449638   \n",
       "3       0       0  ...          0          0  0.175530  0.174649  0.607131   \n",
       "4       0       0  ...          0          0  0.209120  0.197158  0.449313   \n",
       "\n",
       "   windspeed  holiday  workingday  yr   cnt  \n",
       "0   0.284606        0           0   0   985  \n",
       "1   0.466215        0           0   0   801  \n",
       "2   0.465740        0           1   0  1349  \n",
       "3   0.284297        0           1   0  1562  \n",
       "4   0.339143        0           1   0  1600  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "FE_train = pd.concat([train['instant'], X_train,  train['yr'],train['cnt']], axis = 1)\n",
    "FE_train.to_csv('FE_day.csv', index=False)\n",
    "FE_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 731 entries, 0 to 730\n",
      "Data columns (total 35 columns):\n",
      "instant         731 non-null int64\n",
      "season_1        731 non-null uint8\n",
      "season_2        731 non-null uint8\n",
      "season_3        731 non-null uint8\n",
      "season_4        731 non-null uint8\n",
      "mnth_1          731 non-null uint8\n",
      "mnth_2          731 non-null uint8\n",
      "mnth_3          731 non-null uint8\n",
      "mnth_4          731 non-null uint8\n",
      "mnth_5          731 non-null uint8\n",
      "mnth_6          731 non-null uint8\n",
      "mnth_7          731 non-null uint8\n",
      "mnth_8          731 non-null uint8\n",
      "mnth_9          731 non-null uint8\n",
      "mnth_10         731 non-null uint8\n",
      "mnth_11         731 non-null uint8\n",
      "mnth_12         731 non-null uint8\n",
      "weathersit_1    731 non-null uint8\n",
      "weathersit_2    731 non-null uint8\n",
      "weathersit_3    731 non-null uint8\n",
      "weekday_0       731 non-null uint8\n",
      "weekday_1       731 non-null uint8\n",
      "weekday_2       731 non-null uint8\n",
      "weekday_3       731 non-null uint8\n",
      "weekday_4       731 non-null uint8\n",
      "weekday_5       731 non-null uint8\n",
      "weekday_6       731 non-null uint8\n",
      "temp            731 non-null float64\n",
      "atemp           731 non-null float64\n",
      "hum             731 non-null float64\n",
      "windspeed       731 non-null float64\n",
      "holiday         731 non-null int64\n",
      "workingday      731 non-null int64\n",
      "yr              731 non-null int64\n",
      "cnt             731 non-null int64\n",
      "dtypes: float64(4), int64(5), uint8(26)\n",
      "memory usage: 70.0 KB\n"
     ]
    }
   ],
   "source": [
    "\n",
    "FE_train.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 对全体数据，随机选择其中80%做训练数据，剩下20%为测试数据，评价指标为RMSE。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>season_1</th>\n",
       "      <th>season_2</th>\n",
       "      <th>season_3</th>\n",
       "      <th>season_4</th>\n",
       "      <th>mnth_1</th>\n",
       "      <th>mnth_2</th>\n",
       "      <th>mnth_3</th>\n",
       "      <th>mnth_4</th>\n",
       "      <th>mnth_5</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_5</th>\n",
       "      <th>weekday_6</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>yr</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.355170</td>\n",
       "      <td>0.373517</td>\n",
       "      <td>0.828620</td>\n",
       "      <td>0.284606</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.379232</td>\n",
       "      <td>0.360541</td>\n",
       "      <td>0.715771</td>\n",
       "      <td>0.466215</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.171000</td>\n",
       "      <td>0.144830</td>\n",
       "      <td>0.449638</td>\n",
       "      <td>0.465740</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.175530</td>\n",
       "      <td>0.174649</td>\n",
       "      <td>0.607131</td>\n",
       "      <td>0.284297</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.209120</td>\n",
       "      <td>0.197158</td>\n",
       "      <td>0.449313</td>\n",
       "      <td>0.339143</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant  season_1  season_2  season_3  season_4  mnth_1  mnth_2  mnth_3  \\\n",
       "0        1         1         0         0         0       1       0       0   \n",
       "1        2         1         0         0         0       1       0       0   \n",
       "2        3         1         0         0         0       1       0       0   \n",
       "3        4         1         0         0         0       1       0       0   \n",
       "4        5         1         0         0         0       1       0       0   \n",
       "\n",
       "   mnth_4  mnth_5  ...  weekday_5  weekday_6      temp     atemp       hum  \\\n",
       "0       0       0  ...          0          1  0.355170  0.373517  0.828620   \n",
       "1       0       0  ...          0          0  0.379232  0.360541  0.715771   \n",
       "2       0       0  ...          0          0  0.171000  0.144830  0.449638   \n",
       "3       0       0  ...          0          0  0.175530  0.174649  0.607131   \n",
       "4       0       0  ...          0          0  0.209120  0.197158  0.449313   \n",
       "\n",
       "   windspeed  holiday  workingday  yr   cnt  \n",
       "0   0.284606        0           0   0   985  \n",
       "1   0.466215        0           0   0   801  \n",
       "2   0.465740        0           1   0  1349  \n",
       "3   0.284297        0           1   0  1562  \n",
       "4   0.339143        0           1   0  1600  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取做完特征工程的文件FE_day_lpw.csv\n",
    "df = pd.read_csv('FE_day.csv')\n",
    "\n",
    "# 显示数据的前五行\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 从原始数据中分离输入特征x和输出y\n",
    "y = df['cnt']\n",
    "\n",
    "X = df.drop([\"cnt\"], axis = 1)\n",
    "\n",
    "# 特征名称，用于后续显示权重系数对应的特征\n",
    "feature_names = X.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(584, 34)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将数据分割为训练数据和测试数据\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# 随机采样20%的数据构建测试样本，其余作为训练样本\n",
    "X_train,X_test,y_train,y_test = train_test_split(X,y,random_state=33, test_size=0.2)\n",
    "X_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 用训练数据训练最小二乘线性回归模型（20分）、岭回归模型、Lasso模型，其中岭回归模型（30分）和Lasso模型（30分），注意岭回归模型和Lasso模型的正则超参数调优。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 训练最小二乘线性回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>columns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>4550.708897</td>\n",
       "      <td>yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2654.792827</td>\n",
       "      <td>temp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1287.992360</td>\n",
       "      <td>mnth_9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>995.293778</td>\n",
       "      <td>atemp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>929.887649</td>\n",
       "      <td>mnth_10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>914.410909</td>\n",
       "      <td>weathersit_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>830.579518</td>\n",
       "      <td>season_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>586.296405</td>\n",
       "      <td>mnth_12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>517.803038</td>\n",
       "      <td>mnth_8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>409.589079</td>\n",
       "      <td>weathersit_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>407.138803</td>\n",
       "      <td>mnth_11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>238.417312</td>\n",
       "      <td>weekday_6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>216.956549</td>\n",
       "      <td>workingday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>189.797216</td>\n",
       "      <td>mnth_6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>85.141889</td>\n",
       "      <td>season_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>77.516263</td>\n",
       "      <td>weekday_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>66.464787</td>\n",
       "      <td>weekday_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>43.650546</td>\n",
       "      <td>weekday_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5.009200</td>\n",
       "      <td>mnth_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-6.919060</td>\n",
       "      <td>instant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-31.943212</td>\n",
       "      <td>weekday_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-130.807162</td>\n",
       "      <td>season_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-191.612446</td>\n",
       "      <td>weekday_0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-202.493250</td>\n",
       "      <td>weekday_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-203.137582</td>\n",
       "      <td>mnth_7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-263.761415</td>\n",
       "      <td>holiday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-485.714239</td>\n",
       "      <td>mnth_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-541.439917</td>\n",
       "      <td>mnth_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-784.914245</td>\n",
       "      <td>season_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-1174.845790</td>\n",
       "      <td>windspeed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-1207.111892</td>\n",
       "      <td>mnth_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-1298.592138</td>\n",
       "      <td>hum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-1323.999988</td>\n",
       "      <td>weathersit_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-1486.521042</td>\n",
       "      <td>mnth_1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           coef       columns\n",
       "33  4550.708897            yr\n",
       "27  2654.792827          temp\n",
       "13  1287.992360        mnth_9\n",
       "28   995.293778         atemp\n",
       "14   929.887649       mnth_10\n",
       "17   914.410909  weathersit_1\n",
       "4    830.579518      season_4\n",
       "16   586.296405       mnth_12\n",
       "12   517.803038        mnth_8\n",
       "18   409.589079  weathersit_2\n",
       "15   407.138803       mnth_11\n",
       "26   238.417312     weekday_6\n",
       "32   216.956549    workingday\n",
       "10   189.797216        mnth_6\n",
       "2     85.141889      season_2\n",
       "25    77.516263     weekday_5\n",
       "23    66.464787     weekday_3\n",
       "24    43.650546     weekday_4\n",
       "9      5.009200        mnth_5\n",
       "0     -6.919060       instant\n",
       "22   -31.943212     weekday_2\n",
       "3   -130.807162      season_3\n",
       "20  -191.612446     weekday_0\n",
       "21  -202.493250     weekday_1\n",
       "11  -203.137582        mnth_7\n",
       "31  -263.761415       holiday\n",
       "8   -485.714239        mnth_4\n",
       "7   -541.439917        mnth_3\n",
       "1   -784.914245      season_1\n",
       "30 -1174.845790     windspeed\n",
       "6  -1207.111892        mnth_2\n",
       "29 -1298.592138           hum\n",
       "19 -1323.999988  weathersit_3\n",
       "5  -1486.521042        mnth_1"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "#1.使用默认配置初始化学习器实例\n",
    "lr = LinearRegression()\n",
    "\n",
    "#2.用训练数据训练模型参数\n",
    "lr.fit(X_train, y_train)\n",
    "\n",
    "#3.用训练好的模型对测试集进行预测\n",
    "y_test_pred_lr = lr.predict(X_test)  # 模型在测试集上的预测\n",
    "y_train_pred_lr = lr.predict(X_train)  # 模型在训练集上的预测\n",
    "\n",
    "# 看看各特征的权重系数(coef指系数)，系数的绝对值大小可视为该特征的重要性\n",
    "fs = pd.DataFrame({'columns':list(feature_names), 'coef':list((lr.coef_.T))})\n",
    "fs.sort_values(by=['coef'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 最小二乘模型评价-RMSE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('The RMSE of LinearRegression on test is', 814.474907686365)\n",
      "('The r2 score of LinearRegression on test is', 0.8279474225980327)\n",
      "('The RMSE of LinearRegression on train is', 742.7543512758713)\n",
      "('The r2 score of LinearRegression on train is', 0.8516480637403496)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "\n",
    "# 使用RMSE评价模型在测试机和训练集上的性能，并输出评估结果\n",
    "# 测试集\n",
    "print(\"The RMSE of LinearRegression on test is\", np.sqrt(mean_squared_error(y_test, y_test_pred_lr)))\n",
    "print(\"The r2 score of LinearRegression on test is\", r2_score(y_test, y_test_pred_lr))\n",
    "# 训练集\n",
    "print(\"The RMSE of LinearRegression on train is\", np.sqrt(mean_squared_error(y_train, y_train_pred_lr)))\n",
    "print(\"The r2 score of LinearRegression on train is\", r2_score(y_train, y_train_pred_lr))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 岭回归模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>columns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1778.493414</td>\n",
       "      <td>temp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1546.374034</td>\n",
       "      <td>atemp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1504.623924</td>\n",
       "      <td>yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>914.843092</td>\n",
       "      <td>weathersit_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>767.205317</td>\n",
       "      <td>season_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>678.352931</td>\n",
       "      <td>mnth_9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>388.865215</td>\n",
       "      <td>weathersit_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>387.713628</td>\n",
       "      <td>mnth_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>369.663154</td>\n",
       "      <td>mnth_6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>298.550050</td>\n",
       "      <td>mnth_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>227.515740</td>\n",
       "      <td>weekday_6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>212.558710</td>\n",
       "      <td>workingday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>205.686009</td>\n",
       "      <td>mnth_8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>110.998614</td>\n",
       "      <td>season_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>106.306513</td>\n",
       "      <td>mnth_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>84.873020</td>\n",
       "      <td>mnth_10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>81.396550</td>\n",
       "      <td>weekday_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>62.795850</td>\n",
       "      <td>weekday_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>59.857933</td>\n",
       "      <td>weekday_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.417158</td>\n",
       "      <td>instant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-34.140080</td>\n",
       "      <td>weekday_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-91.388275</td>\n",
       "      <td>season_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-143.125249</td>\n",
       "      <td>mnth_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-191.851510</td>\n",
       "      <td>weekday_0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-194.714350</td>\n",
       "      <td>mnth_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-205.574484</td>\n",
       "      <td>weekday_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-242.548582</td>\n",
       "      <td>mnth_7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-248.222941</td>\n",
       "      <td>holiday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-725.828529</td>\n",
       "      <td>mnth_11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-786.815656</td>\n",
       "      <td>season_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-824.928596</td>\n",
       "      <td>mnth_12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-1087.773198</td>\n",
       "      <td>windspeed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-1142.397276</td>\n",
       "      <td>hum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-1303.708307</td>\n",
       "      <td>weathersit_3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           coef       columns\n",
       "27  1778.493414          temp\n",
       "28  1546.374034         atemp\n",
       "33  1504.623924            yr\n",
       "17   914.843092  weathersit_1\n",
       "4    767.205317      season_4\n",
       "13   678.352931        mnth_9\n",
       "18   388.865215  weathersit_2\n",
       "9    387.713628        mnth_5\n",
       "10   369.663154        mnth_6\n",
       "7    298.550050        mnth_3\n",
       "26   227.515740     weekday_6\n",
       "32   212.558710    workingday\n",
       "12   205.686009        mnth_8\n",
       "2    110.998614      season_2\n",
       "8    106.306513        mnth_4\n",
       "14    84.873020       mnth_10\n",
       "25    81.396550     weekday_5\n",
       "24    62.795850     weekday_4\n",
       "23    59.857933     weekday_3\n",
       "0      1.417158       instant\n",
       "22   -34.140080     weekday_2\n",
       "3    -91.388275      season_3\n",
       "6   -143.125249        mnth_2\n",
       "20  -191.851510     weekday_0\n",
       "5   -194.714350        mnth_1\n",
       "21  -205.574484     weekday_1\n",
       "11  -242.548582        mnth_7\n",
       "31  -248.222941       holiday\n",
       "15  -725.828529       mnth_11\n",
       "1   -786.815656      season_1\n",
       "16  -824.928596       mnth_12\n",
       "30 -1087.773198     windspeed\n",
       "29 -1142.397276           hum\n",
       "19 -1303.708307  weathersit_3"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#岭回归／L2正则\n",
    "#class sklearn.linear_model.RidgeCV(alphas=(0.1, 1.0, 10.0), fit_intercept=True, \n",
    "#                                  normalize=False, scoring=None, cv=None, gcv_mode=None, \n",
    "#                                  store_cv_values=False)\n",
    "from sklearn.linear_model import  RidgeCV  # 带有广义交叉项的岭回归\n",
    "\n",
    "#1. 设置超参数（正则参数）范围\n",
    "alphas = [0.01, 0.1, 1, 10, 100]\n",
    "\n",
    "#2. 生成一个RidgeCV实例\n",
    "ridge = RidgeCV(alphas=alphas, store_cv_values=True)\n",
    "\n",
    "#3. 模型训练\n",
    "ridge.fit(X_train, y_train)\n",
    "\n",
    "#4.用训练好的模型对测试集进行预测\n",
    "y_test_pred_ridge = ridge.predict(X_test)  # 模型在测试集上的预测\n",
    "y_train_pred_ridge = ridge.predict(X_train)  # 模型在训练集上的预测 \n",
    "\n",
    "# 看看各特征的权重系数(coef指系数)，系数的绝对值大小可视为该特征的重要性\n",
    "fs_2 = pd.DataFrame({'columns':list(feature_names), 'coef':list((ridge.coef_.T))})  # coef_为权重向量\n",
    "fs_2.sort_values(by=['coef'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 岭回归-模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('The RMSE of RidgeCV on test is', 812.0412682483411)\n",
      "('The r2 score of RidgeCV on test is', 0.8289740678100304)\n",
      "('The RMSE of RidgeCV on train is', 747.4410131599831)\n",
      "('The r2 score of RidgeCV on train is', 0.8497700029725637)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "\n",
    "# 使用RMSE评价模型在测试机和训练集上的性能，并输出评估结果\n",
    "# 测试集\n",
    "print(\"The RMSE of RidgeCV on test is\", np.sqrt(mean_squared_error(y_test, y_test_pred_ridge)))\n",
    "print(\"The r2 score of RidgeCV on test is\", r2_score(y_test, y_test_pred_ridge))\n",
    "# 训练集\n",
    "print(\"The RMSE of RidgeCV on train is\", np.sqrt(mean_squared_error(y_train, y_train_pred_ridge)))\n",
    "print(\"The r2 score of RidgeCV on train is\", r2_score(y_train, y_train_pred_ridge))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lasso模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\ProgramData\\Anaconda3\\envs\\py2\\lib\\site-packages\\sklearn\\model_selection\\_split.py:2052: FutureWarning: You should specify a value for 'cv' instead of relying on the default value. The default value will change from 3 to 5 in version 0.22.\n",
      "  warnings.warn(CV_WARNING, FutureWarning)\n",
      "D:\\ProgramData\\Anaconda3\\envs\\py2\\lib\\site-packages\\sklearn\\linear_model\\coordinate_descent.py:492: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.\n",
      "  ConvergenceWarning)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>coef</th>\n",
       "      <th>columns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>3472.533627</td>\n",
       "      <td>yr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2609.974800</td>\n",
       "      <td>temp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1031.600940</td>\n",
       "      <td>atemp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>924.516638</td>\n",
       "      <td>mnth_9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>759.982846</td>\n",
       "      <td>season_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>499.554848</td>\n",
       "      <td>weathersit_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>472.969983</td>\n",
       "      <td>mnth_10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>244.551040</td>\n",
       "      <td>mnth_8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>99.293831</td>\n",
       "      <td>mnth_6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>28.802096</td>\n",
       "      <td>weekday_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>26.039729</td>\n",
       "      <td>workingday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>17.401523</td>\n",
       "      <td>weekday_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.049479</td>\n",
       "      <td>mnth_5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.856737</td>\n",
       "      <td>season_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.975214</td>\n",
       "      <td>weekday_6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-0.000000</td>\n",
       "      <td>weekday_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>weathersit_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-3.972530</td>\n",
       "      <td>instant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-45.208703</td>\n",
       "      <td>mnth_12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-79.989343</td>\n",
       "      <td>weekday_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-141.664562</td>\n",
       "      <td>mnth_11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-199.683696</td>\n",
       "      <td>season_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-249.463024</td>\n",
       "      <td>weekday_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-358.415367</td>\n",
       "      <td>mnth_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-386.248257</td>\n",
       "      <td>mnth_7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-392.887064</td>\n",
       "      <td>mnth_4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-427.681280</td>\n",
       "      <td>weekday_0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-447.146754</td>\n",
       "      <td>holiday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-864.040202</td>\n",
       "      <td>season_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>-938.564141</td>\n",
       "      <td>mnth_2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-1130.689866</td>\n",
       "      <td>mnth_1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-1180.476349</td>\n",
       "      <td>windspeed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-1317.015682</td>\n",
       "      <td>hum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-1730.522971</td>\n",
       "      <td>weathersit_3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           coef       columns\n",
       "33  3472.533627            yr\n",
       "27  2609.974800          temp\n",
       "28  1031.600940         atemp\n",
       "13   924.516638        mnth_9\n",
       "4    759.982846      season_4\n",
       "17   499.554848  weathersit_1\n",
       "14   472.969983       mnth_10\n",
       "12   244.551040        mnth_8\n",
       "10    99.293831        mnth_6\n",
       "25    28.802096     weekday_5\n",
       "32    26.039729    workingday\n",
       "23    17.401523     weekday_3\n",
       "9      8.049479        mnth_5\n",
       "2      5.856737      season_2\n",
       "26     0.975214     weekday_6\n",
       "24    -0.000000     weekday_4\n",
       "18     0.000000  weathersit_2\n",
       "0     -3.972530       instant\n",
       "16   -45.208703       mnth_12\n",
       "22   -79.989343     weekday_2\n",
       "15  -141.664562       mnth_11\n",
       "3   -199.683696      season_3\n",
       "21  -249.463024     weekday_1\n",
       "7   -358.415367        mnth_3\n",
       "11  -386.248257        mnth_7\n",
       "8   -392.887064        mnth_4\n",
       "20  -427.681280     weekday_0\n",
       "31  -447.146754       holiday\n",
       "1   -864.040202      season_1\n",
       "6   -938.564141        mnth_2\n",
       "5  -1130.689866        mnth_1\n",
       "30 -1180.476349     windspeed\n",
       "29 -1317.015682           hum\n",
       "19 -1730.522971  weathersit_3"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#### Lasso／L1正则\n",
    "# class sklearn.linear_model.LassoCV(eps=0.001, n_alphas=100, alphas=None, fit_intercept=True, \n",
    "#                                    normalize=False, precompute=’auto’, max_iter=1000, \n",
    "#                                    tol=0.0001, copy_X=True, cv=None, verbose=False, n_jobs=1,\n",
    "#                                    positive=False, random_state=None, selection=’cyclic’)\n",
    "from sklearn.linear_model import LassoCV\n",
    "\n",
    "\n",
    "#1. 设置超参数（正则参数）范围\n",
    "alphas = [0.01, 0.1, 1, 10, 100]\n",
    "\n",
    "#2. 生成一个LassoCV实例\n",
    "lasso = LassoCV(alphas=alphas)\n",
    "\n",
    "#3. 模型训练\n",
    "lasso.fit(X_train, y_train)\n",
    "\n",
    "#4.用训练好的模型对测试集进行预测\n",
    "y_test_pred_lasso = lasso.predict(X_test)  # 模型在测试集上的预测\n",
    "y_train_pred_lasso = lasso.predict(X_train)  # 模型在训练集上的预测 \n",
    "\n",
    "# 看看各特征的权重系数(coef指系数)，系数的绝对值大小可视为该特征的重要性\n",
    "fs_3 = pd.DataFrame({'columns':list(feature_names), 'coef':list((lasso.coef_.T))})\n",
    "fs_3.sort_values(by=['coef'], ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型评价"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('The RMSE of LassoCV on test is', 813.4148635007384)\n",
      "('The r2 score of LassoCV on test is', 0.8283949861658035)\n",
      "('The RMSE of LassoCV on train is', 743.1893104872605)\n",
      "('The r2 score of LassoCV on train is', 0.8514742621740345)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import r2_score\n",
    "\n",
    "\n",
    "# 使用RMSE评价模型在测试机和训练集上的性能，并输出评估结果\n",
    "# 测试集\n",
    "print(\"The RMSE of LassoCV on test is\", np.sqrt(mean_squared_error(y_test, y_test_pred_lasso)))\n",
    "print(\"The r2 score of LassoCV on test is\", r2_score(y_test, y_test_pred_lasso))\n",
    "# 训练集\n",
    "print(\"The RMSE of LassoCV on train is\", np.sqrt(mean_squared_error(y_train, y_train_pred_lasso)))\n",
    "print(\"The r2 score of LassoCV on train is\", r2_score(y_train, y_train_pred_lasso))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. 比较用上述三种模型得到的各特征的系数，以及各模型在测试集上的性能。并简单说明原因。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过比较上述三种模型得到的特征系数我们可以看出，岭回归和Lasso回归都能使得线性回归系数收缩，并且在Lasso中有的特征参数系数为0。回归系数都收缩是原因岭回归和Lasso都在最小二乘线性回归的基础上加了正则，限制了特征参数的取值，而Lasso中某些特征的系数为0，是因为对于L1正则，目标函数求的是次梯度，当梯度在次梯度集合内的时候，该维度的特征系数为0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('The RMSE of LinearRegression on test is', 814.474907686365)\n",
      "('The r2 score of LinearRegression on test is', 0.8279474225980327)\n",
      "('The RMSE of RidgeCV on test is', 812.0412682483411)\n",
      "('The r2 score of RidgeCV on test is', 0.8289740678100304)\n",
      "('The RMSE of LassoCV on test is', 813.4148635007384)\n",
      "('The r2 score of LassoCV on test is', 0.8283949861658035)\n"
     ]
    }
   ],
   "source": [
    "print(\"The RMSE of LinearRegression on test is\", np.sqrt(mean_squared_error(y_test, y_test_pred_lr)))\n",
    "print(\"The r2 score of LinearRegression on test is\", r2_score(y_test, y_test_pred_lr))\n",
    "print(\"The RMSE of RidgeCV on test is\", np.sqrt(mean_squared_error(y_test, y_test_pred_ridge)))\n",
    "print(\"The r2 score of RidgeCV on test is\", r2_score(y_test, y_test_pred_ridge))\n",
    "print(\"The RMSE of LassoCV on test is\", np.sqrt(mean_squared_error(y_test, y_test_pred_lasso)))\n",
    "print(\"The r2 score of LassoCV on test is\", r2_score(y_test, y_test_pred_lasso))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "通过观察模型评价指标可以看出，在训练集上评价最好的是岭回归模型，其次是Lasso模型，最后是最小二乘线性回归。原因是岭回归和Lasso都在最小二乘线性回归模型中加入了正则项，防止了模型过拟合的问题，所以效果要更好些。而在特征分析中，我们看到有很多特征相关性比较大，比如说温度与体感温度，在特征多，且特征间存在共线性关系时使用L2正则效果要更好，所以这这里岭回归模型比Lasso回归又好一点点。\n"
   ]
  }
 ],
 "metadata": {
  "_change_revision": 0,
  "_is_fork": false,
  "kernelspec": {
   "display_name": "Python [conda env:py2]",
   "language": "python",
   "name": "conda-env-py2-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
